Transformers.js

Upload an image to detect objects

What is Transformers.js ?

Transformers.js is a JavaScript library designed to integrate AI-powered image processing directly into web applications. It simplifies the process of detecting objects in images and applying transformations, such as adding logos or watermarks, seamlessly. The library leverages modern AI models to deliver accurate and efficient image processing capabilities.

Features

  • Object Detection: Automatically identify objects within images using AI-powered detection.
  • Logo Placement: Easily add customizable logos or watermarks to images.
  • Drag-and-Drop Interface: Simplify image processing with an intuitive user interface.
  • Real-Time Preview: See transformations applied instantly for faster workflows.
  • API Integration: Compatible with popular frameworks for seamless integration.
  • Cross-Platform Support: Works on multiple browsers and devices.

How to use Transformers.js ?

  1. Install the Library: Include Transformers.js via npm or CDN.
    npm install transformers.js
    
  2. Import the Library: Add the library to your project file.
    import Transformers from 'transformers.js';
    
  3. Initialize the Transformer: Create an instance with your API configuration.
    const transformer = new Transformers({
      apiKey: 'YOUR_API_KEY',
    });
    
  4. Load an Image: Upload or select an image for processing.
    transformer.loadImage('path/to/image.jpg');
    
  5. Apply Transformations: Use built-in methods to add logos or detect objects.
    transformer.detectObjects();
    transformer.addLogo('logo.png', {
      position: 'bottom-right',
    });
    
  6. Save the Result: Export the modified image in your preferred format.
    const result = await transformer.saveAs('output.png');
    

Frequently Asked Questions

1. What image formats does Transformers.js support?
Transformers.js supports JPEG, PNG, and WEBP formats for both input and output images.

2. Can I customize the logo placement?
Yes, you can customize the logo's position, size, and opacity using the addLogo method parameters.

3. Does Transformers.js handle errors during image upload?
Yes, the library includes error handling for invalid image formats and failed uploads, providing detailed error messages for easy debugging.